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• Location: Wien
• Working hours: Part-time
• Occupational Area: Risikomanagement
• Company: Erste Group Bank AG

Erste Group was founded in 1819 as the first Austrian savings bank and is today one of the largest stock-listed banking groups in Central Europe. As an attractive employer, Erste Group offers interesting career opportunities in an international environment.

The department Model Methodology & Development is the central function responsible for the development and maintenance of models used in the analysis of credit risk, in particular regulatory Pillar 1 IRB models, Pillar 2 and IFRS 9 models as well as risk decision models. It is also responsible for the definition of group-wide model development standards.

Your Tasks

• Contribution to the development and maintenance of credit risk models as well as decision models by applying appropriate statistical techniques
• Support the data preparation activities for model development, assuring adequate data quality (e.g. in terms of data consistency and completeness)
• Contribution to the further development of group-wide credit risk model development standards
• Support the documentation of models for internal and regulatory approval

Your Background

• Currently enrolled student in natural or economic science with focus on mathematics, statistics, econometrics or banking and finance
• Profound knowledge in applied statistics (e.g. ML: regression analysis, neural network, decision trees, random forests) as well as experience in a statistical programming language (e.g. Python, R, SQL)
• Highly proficient in both spoken and written English
• Team-oriented with strong ability to cooperate

Our Offer

• Exciting and challenging internship for 12 months part-time (19.25h/week) starting in January 2027
• Support of your professional and personal development in a dynamic, comprehensive and interesting area
• Discover and enjoy the benefits of Erste Group
• Internship salary: starting from EUR 2,745.32 gross per month (full-time equivalent; excluding mandatory internships as part of a university of applied sciences curriculum)
• We offer our employees the opportunity to divide their hours between working from home and at the office
• We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin